UX News

A look at what's going on in the field of user experience.

AI writes the code and humans still write the rules

, UX Collective - Medium

An infographic mapping the AI code platform landscape in 2026, showing seven tools including Cursor, Copilot, and Claude Code orbiting a central AI model, with market stats, user types, and a note that humans remain the source of everything AI can do

How Lovable, Cursor, and Bolt are rewriting who gets to build software — and the hidden costs nobody is talking about.Lovable hit $100M revenue in 8 months (Source: CB Insights).A quarter of all YC startups now ship code that’s 95% AI-written. And somewhere in Silicon Valley, a 22-year-old with no CS degree just launched an app used by 40,000 people — without writing a single line. Here’s the full, unfiltered story of who’s building the future, what’s working, what’s failing, and what it all means.

The vibe coding uprisingIn February 2025, AI pioneer Andrej Karpathy coined a phrase that sent shockwaves through software communities worldwide: “vibe coding.” He described it as “fully giving in to the vibes, embracing exponentials, and forgetting that the code even exists.” At the time, many professional developers rolled their eyes. Six months later, they were using it themselves.

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An Intro to Bayesian Thinking for UX Research: Updating Beliefs with Data

, MeasuringU

Feature image showing a researcher pointing on a math equation using a pointer stick

“That design will never work.”

You may have had that thought before you even ran your first participant in a usability test.

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Nano Banana Pro for Accessibility Testing

, UX Planet - Medium

Over 1.3 billion people worldwide live with some form of disability, and roughly 2.2 billion have a vision impairment. Yet the vast…

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How complexity accumulates

, UX Collective - Medium

A Painting of Alexander Cutting the Gordian Knot

How systems become risky without anyone noticing.Alexander Undoing the Gordian | Source: Knot 1st-art-gallery.comNo one decides to build a fragile system. No executive convenes a meeting to discuss how best to make operations inscrutable, unreliable, brittle. No engineer sets out to create software that no one can maintain or discern later on. No organization deliberately designs processes so convoluted that they guarantee failure.

Yet fragile, incomprehensible, unmaintainable, and failure-prone systems are everywhere. They are the norm. Systems that excel and are resilient are exceptional. So how come? Fragile systems didn’t arrive through dramatic decisions or catastrophic errors. They evolved. Their fragility and brittleness were accumulated gradually, through a thousand small, locally rational choices that collectively created something unmanageable. Therein lies the importance of Systems Thinking. To understand the aggregate dynamics of individual choices.

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Being an AI-native designer isn’t what you think it is

, UX Collective - Medium

What 28 design leaders have said AI-native design really is

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Extended overthinking

, UX Collective - Medium

On AI, slot machines, and forgetting how to craft pixels.I’ve grown tired of AI lately… of what it does to me.

Every new model, every new tool, every new workflow. Yes, they’re powerful. Yes, they let us do more. But there’s this weird disconnect growing between me and the things I make. When everything is instant, it starts feeling like a slot machine. Except you always win. Which makes it more addictive. And somehow… also boring?

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Gemini 3.1 for UI & Web Design

, UX Planet - Medium

Google recently released its new AI model, Gemini 3.1. This model works extremely well for UI and web design. In this article, I want to…

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Figma Make with Claude 4.6 or Gemini 3

, UX Planet - Medium

Which AI Model Works Best for UI Design

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Top 10 Claude Skills You Should Try in Product Design

, UX Planet - Medium

Claude, Anthropic’s AI assistant, has become one of the most versatile tools in a product designer’s toolkit, capable of far more than…

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An Introduction to Effect Sizes

, MeasuringU

Feature image showing small, medium and large effect sizes.

The completion rate jumped from 20% to 80%. That’s a large effect size. If it had gone from 20% to 21%? Much smaller effect.

It’s easy to get caught up in the mechanics of significance testing and p-values. But even before those tools existed, researchers were measuring effect sizes. Effect sizes remain fundamental to understanding whether a result actually matters.

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UX News